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Ensu – Ente’s Local LLM app
Introducing Ensu, our first step toward a private, personal LLM app that runs on your device and grows with you over time.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,322 posts.
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Video generation models as world simulators
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our…
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I made a transformer to predict a simple sequence manually
To better understand how transformers work, I hand-assigned all the weights to predict a simple sequence.
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Representation Engineering: Mistral-7B on Acid
Playing around with the Representation Engineering paper, I made some interesting control vectors, and a Python package to make your own.
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March 20 ChatGPT outage: Here’s what happened
An update on our findings, the actions we’ve taken, and technical details of the bug.
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I asked Meta’s Muse for its filesystem and it sent me 6.8GB
I asked Muse to archive the files it could see and send them to my Google Drive. It did.
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Machine Learning in a Year
From being a total ml noob to start using it at work
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How to effectively write quality code with AI
AI is rarely optional anymore, but how can you still be proud of your craft? Discover the workflow to effectively write high-quality, robust code using AI tools.
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Making games in Go: 3 months without LLMs vs. 3 days with LLMs
After 15 years as a software engineer, I realized I had never actually built and published a game.
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Prompt engineering vs. blind prompting
"Prompt Engineering" emerged from the growth of language models to describe the process of applying prompting to effectively extract information from language models, typically for use in real-world applications.
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Meta's new LLM-based test generator
Meta's TestGen-LLM is a sneak peek to the future of developer productivity: specialized, orchestrated, and rigorously filtered.
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Performance per dollar is getting faster and cheaper
How we served GLM5.2 on AMD MI355X at 2626 tok/s/node and 213 tok/s single stream at over 2x lower cost than Blackwell.
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A Remarkable Assertion from A16Z
A friend made me aware of a reading list from A16Z containing recommendations for books, weighted towards science fiction since that’s mostly what people there read.
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Copilot Internals
Hacky repo to see what the Copilot extension sends to the server
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My First Year as a Freelance AI Engineer
This week marks my one-year anniversary of quitting my full-time job and becoming a freelance AI engineer. I’m writing down my thoughts and experience here so that this might be useful if you are even vaguely interested.
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Measuring the “Filter Bubble”: How Google is influencing what you click
Does Google show you different search results based on your personal info, even when signed out and in so-called "incognito" mode? We ran a study to find out.
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Welcome to the New AWS AI Blog
If you ask 100 people for the definition of “artificial intelligence,” you’ll get at least 100 answers, if not more. At AWS, we define it as a service or system which can perform tasks that usually require human-level intelligence such as visual perception, speech recognition, decision making, or translation. On this…
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Stop selling “unlimited”, when you mean “until we change our minds”
Claude Code joins the AI pricing bait-and-switch
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Microsoft 365 Copilot – your copilot for work
Humans are hard-wired to dream, to create, to innovate. Each of us seeks to do work that gives us purpose — to write a great novel, to make a discovery, to build strong communities, to care for the sick. The urge to connect to the core of our work lives in all of us. But...
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Nvidia's Risky Business
Nvidia is finding new ways for its customers to raise money, and it’s expanding the risk of the AI buildout significantly.
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Why deep learning works even though it shouldn’t
Why models always get better when they are bigger and deeper, even when the amount of data they consume stays the same or gets smaller.
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Using machine learning to recreate photorealistic portraits of Roman Emperors
Artistic interpretations of the 54 Roman emperors of the Principate, created with AI and historical references.
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Fine-tuning Mistral 7B on Magic the Gathering Draft
Tips, examples, and thoughts from an exploration of the world of fine tuning
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